- claim_text
A snRNA-seq + spatial transcriptomic atlas of 143 macaque cortical regions resolved 264 transcriptome-defined cell types and showed that the regional distribution of cell types relates to the cortical area's hierarchical position in information processing.
- raw_fields
{
"n": 264,
"doi": "10.1016/j.cell.2023.06.009",
"claim": "A snRNA-seq + spatial transcriptomic atlas of 143 macaque cortical regions resolved 264 transcriptome-defined cell types and showed that the regional distribution of cell types relates to the cortical area's hierarchical position in information processing.",
"title": null,
"cite_key": "Chen2023a",
"evidence": "Whole-macaque-cortex snRNA-seq + spatial transcriptomics; 264 transcriptome cell types.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "macaque cortex snRNA-seq + spatial",
"target_section": "section_11",
"_source_cluster": "cluster_01_molecular_taxonomy",
"replication_status": "single_study",
"_source_cluster_index": 48,
"claim_source_sentence": "Using large-scale single-nucleus RNA sequencing and spatial transcriptomic analysis of 143 macaque cortical regions, we obtained a comprehensive atlas of 264 transcriptome-defined cortical cell types and mapped their spatial distribution across the entire cortex."
}- source_refs
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]
- source_span
Using large-scale single-nucleus RNA sequencing and spatial transcriptomic analysis of 143 macaque cortical regions, we obtained a comprehensive atlas of 264 transcriptome-defined cortical cell types and mapped their spatial distribution across the entire cortex.
- evidence_refs
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{
"ref": "paper:63315070-8367-4708-9d45-9ef2dbd19c15"
}
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